Jobs at Techdome

Own go-to-market strategy and paid growth across Meta, Google, LinkedIn, and emerging platforms. Define customer segments, positioning, channel strategy, campaigns, budgets, funnel optimization, tracking, attribution, testing, and reporting. Maintain pixels, Conversions API, event tagging, UTMs, CRM data, and analytics. Use AI tools to improve campaign creation and optimization while partnering with product, sales, and design to drive qualified leads and revenue.

Own enterprise GenAI products from client discovery through launch and ongoing delivery. Define scope, budgets, timelines, requirements, and production metrics while coordinating design, engineering, QA, DevOps, and business teams. Manage client relationships, vendors, risks, change control, compliance, and AI-specific concerns such as hallucinations, prompt injection, privacy, bias, and cost. Lead LLM, RAG, agent, and workflow automation products into reliable, scalable production systems.

Design, build, deploy, and operate scalable applications using Node.js, React, MongoDB, and TypeScript. Own features through production, ensure security and quality, respond to incidents, conduct root-cause analysis, contribute to architecture, and mentor engineers. Collaborate with product, design, QA, and DevOps while supporting cloud infrastructure, CI/CD, containers, monitoring, and client-focused technical solutions.

Finds and bids on suitable Upwork projects, writes tailored proposals, manages client conversations through negotiation and closing, and collaborates with technical, design, and marketing teams on estimates and timelines. Maintains profiles and portfolios, tracks bid performance and revenue, applies Upwork best practices, and builds repeat client relationships.

Manage digital marketing end to end, including paid advertising, SEO, analytics, lead generation, conversion optimization, marketing automation, and AI-assisted workflows. Optimize campaigns across major advertising platforms, track acquisition and funnel metrics, build reporting dashboards, improve landing-page performance, and collaborate with Sales to increase lead quality and conversions. The role also supports content creation, social campaigns, and integrations with CRM systems and automation tools.

Own software architecture across product platforms, including system design, APIs, data modeling, security, scalability, observability, reliability, and cloud costs. Lead cloud-native delivery using MERN, public cloud, Kubernetes, CI/CD, and infrastructure as code. Resolve production incidents and performance issues, establish engineering standards, review code, conduct design reviews, and mentor technical leaders. The role requires hands-on software engineering experience with large-scale production systems and sensitive healthcare or financial data.

Serve as an execution partner to the CEO and CTO by translating strategy into plans, coordinating cross-functional initiatives, removing bottlenecks, preparing executive and client materials, supporting business development, conducting market research, and implementing AI-powered workflow automations.

Leads the architecture and delivery of enterprise ServiceNow implementations across multiple modules. Designs scalable platform solutions, integrations, CMDB and CSDM strategies, governance standards, upgrade plans, and performance improvements. Facilitates client workshops, translates requirements into technical designs, reviews development work, supports estimations and presales, and guides best-practice implementation. Requires deep ServiceNow, ITSM, scripting, integration, and client-facing expertise.

Build and deploy production-grade machine learning, deep learning, and Generative AI solutions. Responsibilities include developing models, RAG pipelines, AI agents, prompt engineering, data and training pipelines, scalable APIs, and MLOps practices. The role evaluates and optimizes model performance, cost, and latency while collaborating with product, data, and engineering teams to move AI capabilities from proof of concept to production.

Build and own end-to-end web applications, including responsive frontends, scalable backend services, APIs, database integrations, authentication, and payment systems. Deploy cloud-native applications using Docker and CI/CD pipelines, write clean and testable code, participate in Agile ceremonies and code reviews, and mentor junior developers. The role requires strong JavaScript or TypeScript skills, React or Angular, Node.js, SQL and NoSQL databases, REST APIs, microservices, Git, and cloud services.

Develop and maintain enterprise Sitecore websites and digital experiences across Sitecore XP/XM and XM Cloud. Build headless components with Sitecore JSS, Next.js, or React; develop C# and .NET backend features; configure content, workflows, personalization, and multisite environments; integrate CRM, search, and third-party systems; support migrations, performance optimization, security, and agile collaboration.

Design, develop, configure, and integrate scalable Salesforce solutions for enterprise clients. Responsibilities include Apex, LWC, Visualforce, Flows, Salesforce cloud implementations, external-system integrations, data modeling, CI/CD deployments, testing, performance and security best practices, troubleshooting, user support, and mentoring junior developers.

Build and manage secure, highly available cloud infrastructure and CI/CD pipelines. Responsibilities include Infrastructure as Code, Kubernetes and container management, monitoring, logging, security, access control, disaster recovery, cost optimization, and production troubleshooting. The role requires strong cloud, Terraform, Kubernetes, Docker, Linux, networking, scripting, and pipeline experience, with participation in on-call support.

Designs and owns scalable enterprise data platforms across ingestion, storage, processing, serving, and analytics. Responsibilities include cloud data lake, lakehouse, and warehouse architecture; data modeling; governance, security, quality, metadata, and lineage standards; architecture reviews; technology selection; cost optimization; team guidance; stakeholder collaboration; and presales support. Requires strong Snowflake or Databricks, cloud, SQL, data modeling, programming, Spark, and ETL/ELT expertise.

Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Snowflake, Databricks, and cloud platforms. Develop transformation and orchestration layers, implement data quality monitoring and alerting, optimize performance and cloud costs, and collaborate with architects, analysts, and data scientists. The role also requires data warehousing, dimensional modeling, CI/CD, version control, and documentation practices.

Design, develop, and maintain scalable Python backend applications, RESTful and GraphQL APIs, database systems, integrations, and asynchronous services. Deploy cloud-based services using Docker and CI/CD pipelines, write automated tests, participate in code reviews, contribute to technical architecture, and mentor junior developers. The role requires expertise in Python frameworks, SQL and NoSQL databases, authentication, cloud platforms, distributed systems, and asynchronous programming.

Own end-to-end architecture for high-scale healthcare, fintech, AI, and SaaS products. Design secure, reliable, cloud-native systems; make decisions on APIs, data models, distributed architecture, observability, scalability, and cost. Write production code, resolve performance and availability issues, establish engineering standards, conduct design and code reviews, and mentor senior engineers. The role requires operating systems serving more than 100,000 users and hands-on experience with Node.js, React, cloud platforms, and security-critical domains.

Supports corporate and commercial legal matters, including drafting and reviewing contracts, Companies Act compliance, board documentation, ROC filings, contract tracking, employment documents, due diligence, legal research, and coordination with external counsel and company secretaries.

Designs enterprise data architectures, models, integration solutions, pipelines, and governance standards for supply chain and manufacturing environments. Leads Azure and Databricks data platform implementations, including Azure Data Factory, Synapse Analytics, and Data Lake solutions. Collaborates with stakeholders, engineers, and business teams to translate requirements into scalable architectures, improve data quality, support modernization, and optimize enterprise data flows.

Supports People Operations across onboarding, employee exits, records, attendance, leave, payroll inputs, statutory compliance, HR documentation, engagement events, employee queries, and basic reporting. The intern will use Keka HRMS, spreadsheets, and AI tools while learning HR operations in a fast-growing technology company.